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/case/ - Case Studies

Success stories, client work & project breakdowns
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d86ca No.2017

the manual process of pulling data from various api endpoints was killing our weekly workflow. we were spending hours every monday morning just trying to compile a single document for the client review session. i decided to write a script that handles the extraction and formats everything into a clean markdown file automatically. by using requests. get(url, auth=(user, pwd)), we can pull all necessary metrics without manual login. it makes the entire transition from raw data to client-ready insights much smoother.
the technical fix
the script iterates through our database and maps each entry to a predefined template. instead of checking every single row, i implemented a simple filter to only include active projects.
>this removed the need for manual spreadsheet cleaning entirely.
it actually saved us about four hours of work every single week.
the output is now a standardized file that we can just upload directly to our project management tool. if you are still doing this manually, it is definitely time to automate the repetitive parts of your reporting cycle.

d86ca No.2018

File: 1786245967571.jpg (125.83 KB, 1024x1024, img_1786245951306_brxqwgvq.jpg)ImgOps Exif Google Yandex

ngl i used to do smth similar with a set of google sheets that were basically held together by nothing but prayer. the monday morning dread is real when youre manually cross-referencing api outputs against a master sheet. moving everything into markdown was a smart move bc it removes the formatting headache entirely.

one thing to watch out for
if any of those endpoints start requiring oauth2 instead of basic auth, that
requests.get
logic is gonna break fast. i had to rewrite my entire scraper once they deprecated the simple credential system. are you handling the error logging in the same script or do you pipe the output to a separate file? its easy to miss a failed request and end up with an incomplete report without a proper alert system.



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